Research and Publications
Our role
Translated has an active role in research in the field of Artificial Intelligence, and Natural Language Processing in particular. We've been working with top universities and research centers since 2008, cosponsoring and coauthoring several scientific papers. Our partners include the Fondazione Bruno Kessler, the University of Edinburgh and the Université du Maine. Below you can find a list of our latest contributions, mainly originated from our MateCat and ModernMT research projects.
Latest contributions

MMT productionready engine ranks among the top research systems
O. Bojar, C. Federmann, M. Fishel, Y. Graham, B. Haddow, M. Huck, P. Koehn, C. Monz, Findings of the 2018 Conference on Machine Translation (WMT18), Nov 1, 2018.

FBK's Multilingual Machine Translation System for IWSLT 2017
S. M. Lakew, Q. F. Lotito, M. Turchi, M. Negri, M. Federico, Proceedings of the 14th International Workshop on Spoken Language Translation, Dec 1415, 2017.

Monolingual Embeddings for Low Resourced Neural Machine Translation
M. A. Di Gangi, M. Federico, Proceedings of the 14th International Workshop on Spoken Language Translation, Dec 1415, 2017.

Improving ZeroShot Translation for LowResourced Languages
S. M. Lakew, Q. F. Lotito, M. Negri, M. Turchi, M. Federico, Proceedings of the 14th International Workshop on Spoken Language Translation, Dec 1415, 2017.

Multilingual Neural Machine Translation for Low Resource Languages
S. M. Lakew, M. A. Di Gangi, M. Federico, Proceedings of the 4th Italian Conference on Computational Linguistics (CLICIT), Dec 1113, 2017.

Can Monolingual Embeddings Improve Neural Machine Translation?
M.A. Di Gangi andì M. Federico, Proceedings of the 4th Italian Conference on Computational Linguistics (CLICIT), Dec 1113, 2017.

FBK’s Participation to the EnglishtoGerman News Translation Task of WMT 2017
M.A. Di Gangi, N. Bertoldi and M. Federico, Proceedings of the Second Conference on Machine Translation, Sep 2017, p. 271275.

MultiDomain Neural Machine Translation through Unsupervised Adaptation
M.A. Farajian, M. Turchi, M. Negri and M. Federico, Proceedings of the Second Conference on Machine Translation, Sep 2017, p. 127137.

Guiding Neural Machine Translation Decoding with External Knowledge
R. Chatterjee, M. Negri, M. Turchi, M. Federico, L. Specia and F. Blain, Proceedings of the Second Conference on Machine Translation, Sep 2017, p. 157168.

Continuous Learning from Human Postedits for Neural Machine Translation
M. Turchi, M. Negri, A. Farajian and M. Federico, Proceedings of the 20th Annual Conference of the European Association for Machine Translation, Number 108, June 2017

Linguistically Motivated Vocabulary Reduction for Neural Machine Translation
D. Ataman, M. Negri and M. Federico, Proceedings of the 20th Annual Conference of the European Association for Machine Translation, Number 108, June 2017.

MMT: New Open Source MT for the Translation Industry
N. Bertoldi, R. Cattoni, M. Cettolo, A. F., M. Federico, D. Caroselli, L. Mastrostefano, A. Rossi, M. Trombetti, U. Germann, D. Madl, Proceedings of the 20th Annual Conference of the EAMT, 2017.

Neural vs. PhraseBased Machine Translation in MultiDomain Scenario
M.A. Farajian, M. Turchi, M. Negri, N. Bertoldi and M. Federico, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Volume 2, 2017.

Neural versus PhraseBased MT Quality: an InDepth Analysis on EnglishGerman and EnglishFrench
L. Bentivogli, A. Bisazza, M. Cettolo, M. Federico, Computer Speech and Language, Vol 49, May 2018, 2017.

The first Automatic Memory Clearning Shared Task
E. Barbu, C. Parra Escartín, L. Bentivogli, M. Negri, M. Turchi, C. Orasan, M. Federico, Machine Translation, Jan 2017.

Automatic translation memory cleaning
M. Negri, D. Ataman, M.J. Sabet, M. Turchi and M. Federico, Machine Translation, Feb 2017.

The IWSLT 2016 Evaluation Campaign
M. Cettolo, J. Niehues, S. Stüker, L. Bentivogli, M. Federico, Proceedings of the 13th International Workshop on Spoken Language Translation, Dec 89 2016.

FBK's Neural Machine Translation Systems for IWSLT 2016
M. A. Farajian, R. Chatterjee, C. Conforti, S. Jalalvand, V. Balaraman, M. A. Di Gangi, D. Ataman, M. Turchi, M. Negri, M. Federico, Proceedings of the 13th International Workshop on Spoken Language Translation, Dec 89 2016.

Neural versus PhraseBased Machine Translation Quality: a Case Study
L. Bentivogli, A. Bisazza, M. Cettolo, M. Federico, Proceedings of Conference on Empirical Methods in Natural Language Processing, Nov 15, 2016.

The Reasonable Effectiveness of Data
A. Ruopp, Proceedings of 12th Conference of the Association for Machine Translation in the Americas, vol. 2: MT Users' Track, p.123142.

MT Adaptation from TMs in ModernMT
M. Federico, Proceedings of 12th Conference of the Association for Machine Translation in the Americas, vol. 2: MT Users' Track, p.1957.

Findings of the WMT 2016 Bilingual Document Alignment Shared Task
C. Buck, P. Koehn, Proceedings of the First Conference on Machine Translation, Volume 2: Shared Task Papers , Aug 1112, 2016, p.554563.

An Unsupervised Method for Automatic Translation Memory Cleaning
M. J. Sabet, M. Negri, Marco Turchi, E. Barbu, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Aug 712, 2016, p.287292.

TMOP: A Tool for Unsupervised Translation Memory Cleaning
M.J. Sabet, M. Negri, M. Turchi, J.G.C. de Souza, M. Federico, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Aug 712, 2016.

Sampling Phrase Tables for the Moses Statistical Machine Translation System
U. Germann, The Prague Bulletin of Mathematical Linguistics, No. 104, Oct 2015, p.3950

MT Quality Estimation for ECommerce Data
J. G. C. de Souza, M. Federico, H. Sawaf, Proceedings of MT Summit XV (AMTA 2015), 30 Oct3 Nov, 2015, p.2029.

Topic Adaptation for Machine Translation of ECommerce Content
P. Mathur, M. Federico, S. Köprü, S. Khadivi, H. Sawaf, Proceedings of MT Summit XV (AMTA 2015), 30 Oct3 Nov, 2015, p.270281.

Project Adaptation over Several Days
F. Blain, A. Hazem, F. Bougares, L. Barrault and H. Schwenk, 2nd Translation in Transition Conference, Jan 2930, 2015.

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
K. Cho, B. van Merriënboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk and Y. Bengio, Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Oct 2529, 2014, p. 17241734.

Online and Multitask learning for Machine Translation Quality Estimation in Realworld scenarios
J.G.C. de Souza, M. Turchi, M. Negri, A. Anastasopoulos, Italian Computational Linguistics Conference (CLICit 2014), Dec 910, 2014.

Adattamento al Progetto dei Modelli di Traduzione Automatica nella Traduzione Assistita
M. Cettolo, N. Bertoldi, and M. Federico, Italian Computational Linguistics Conference (CLICit 2014), Dec 910, 2014.

Assessing the Impact of Translation Errors on Machine Translation Quality with Mixedeffects Models
M. Federico, M. Negri, L. Bentivogli, M. Turchi, Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), Oct 2529, 2014, p. 16431653.

Dynamic Phrase Tables for Statistical Machine Translation in an Interactive Postediting Scenario
U. Germann, AMTA 2014 Workshop on Interactive and Adaptive Machine Translation (IAMT 2014), Oct 22 October, 2014, p. 20–3

Optimized MT Online Learning in Computer Assisted Translation
P. Mathur and M. Cettolo, AMTA 2014 Workshop on Interactive and Adaptive Machine Translation (IAMT 2014), Oct 22, 2014, p. 3241.

Towards a Combination of Online and Multitask Learning for MT Quality Estimation: a Preliminary Study
J.G.C. de Souza, M. Turchi and M. Negri, AMTA 2014 Workshop on Interactive and Adaptive Machine Translation (IAMT 2014), Oct 22, 2014, p. 919.

The Repetition Rate of Text as a Predictor of the Effectiveness of Machine Translation Adaptation
M. Cettolo, N. Bertoldi and M. Federico, 11th biennial conference of the Association for Machine Translation in the Americas (AMTA 2014), Oct 2226, 2014, p. 166179

Enhancing Statistical Machine Translation with Bilingual Terminology in a CAT Environment
M. Arcan, M. Turchi, S. Tonelli, P. Buitelaar, 11th biennial conference of the Association for Machine Translation in the Americas (AMTA 2014), Oct 2226 October, 2014, p. 5468.

Online MultiUser Adaptive Statistical Machine Translation
P. Mathur, M. Cettolo, M. Federico, and J.G.C. de Souza, 11th biennial conference of the Association for Machine Translation in the Americas (AMTA 2014), Oct 2226 October, 2014, p. 152165.

Machine Translation Quality Estimation Across Domains
J.G.C. de Souza, M. Turchi and M. Negri, 25th International Conference on Computational Linguistics (COLING 2014), Aug 2329, 2014, p. 409420.

MTEQuAl: a Toolkit for Human Assessment of Machine Translation Output
C. Girardi, L. Bentivogli, M.A. Farajian, M. Federico, 25th International Conference on Computational Linguistics (COLING 2014), Aug 2329, 2014, p. 120123.

The MateCat Tool
M. Federico, N. Bertoldi, M. Cettolo, M. Negri, M. Turchi, M. Trombetti, A. Cattelan, A. Farina, D. Lupinetti, A. Martines, A. Massidda, H. Schwenk, L. Barrault, F. Blain, P. Koehn, C. Buck and U. Germann, 25th International Conference on Computational Linguistics (COLING 2014), Aug 2329, 2014, p. 129132.

Identification of Bilingual Terms from Monolingual Documents for Statistical Machine Translation
M. Arcan, C. Giuliano, M. Turchi and P. Buitelaar, 4th COLING International Workshop on Computational Terminology (Computerm), Aug 23, 2014, p. 2231.

Online Adaptation to PostEdits for PhraseBased Statistical Machine Translation
N. Bertoldi, P. Simianer, M. Cettolo, K. Waeschle, M. Federico, S. Riezler, Machine Translation Journal, Volume 28, Dec 2014, p.127150.

Translation Project Adaptation for MTEnhanced Computer Assisted Translation
M. Cettolo, N. Bertoldi, M. Federico, H. Schwenk, L. Barrault and C. Servan, Machine Translation Journal, Volume 28, Dec 2014, p 309–339.

Datadriven Annotation of Binary MT Quality Estimation Corpora Based on Human Posteditions
M. Turchi, M. Negri, M. Federico, Machine Translation, Volume 28, Issue 3–4, Dec 2014, pp 281–30.

FBKUPVUEdin participation in the WMT14 Quality Estimation sharedtask
J.G.C. de Souza, J. GonzálezRubio, C. Buck, M. Turchi and M. Negri, 9th ACL Workshop on Statistical Machine Translation (WMT 2014), Jun 2627, 2014, p. 322328.

Adaptive Quality Estimation for Machine Translation
M. Turchi, A. Anastasopoulos, J.G.C. de Souza and M. Negri, 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014), Jun 2227, 2014, p. 710720.

Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements
M. Turchi and M. Negri, . 9th Language Resources and Evaluation Conference (LREC 2014), Reykjavik, Iceland, 2631 May 2014, p.17881792.

Ngram Counts and Language Models from the Common Crawl
C. Buck, K. Heafield and B. van Ooyen, 9th Language Resources and Evaluation Conference (LREC 2014), May 2631, 2014, p. 35793584.

Online Word Alignment for Online Adaptive Machine Translation
A. Farajian, N. Bertoldi, M. Federico, EACL2014 Workshop on Humans and Computerassisted Translation, Apr 2014.

Dynamic Models in Moses for Online Adaptation
N. Bertoldi, Prague Bulletin of Mathematical Linguistics, Apr 2014.

Recent Advancements in Human Language Technology in Italy
B. Magnini, M. Baroni, M. Federico, and R. Navigli. Intelligenza artificiale 7, 2013, p. 91100.

XenC: An OpenSource Tool for Data Selection in Natural Language Processing
A. Rousseau, Prague Bulletin of Mathematical Linguistics, No. 100, 2013, p.73–82.

Project Adaptation for MT Enhanced Computer Assisted Translation
M. Cettolo, N. Bertoldi and M. Federico, Proceedings of the XIV Machine Translation Summit, Sep 2–6, 2013, p. 27–34.

Cachebased Online Adaptation for Machine Translation Enhanced Computer Assisted Translation
N. Bertoldi, M. Cettolo, M. Federico, Proceedings of the XIV Machine Translation Summit, Sep 26, 2013, p. 35–42.

Generative and Discriminative Methods for Online Adaptation in SMT
K. Waeschle, P. Simianer, N. Bertoldi, S. Riezler, M. Federico, Proceedings of the XIV Machine Translation Summit, Sep 26, 2013, p. 11–18.

Issues in Incremental Adaptation of Statistical MT from Human Postedits
M. Cettolo, N. Bertoldi, M. Federico, C. Servan, L. Barrault and H. Schwenk, Proceedings of MT Summit XIV Workshop on Postediting Technology and Practice, Sep 2, 2013, p. 111–118.

A modular OpenSource Continuous Space Language Modeling Toolkit
H. Schwenk, Modeling Toolkit, Interspeech, Aug 2529, 2013.

Findings of the 2013 Workshop on Statistical Machine Translation
O. Bojar, C. Buck, C. CallisonBurch, C. Federmann, B. Haddow, P. Koehn, C. Monz, M. Post, R. Soricut and L. Specia, Proceedings of the 8th Workshop on SMT, Aug 89, 2013, p. 1–44.

FBKUEdin Participation to the WMT13 Quality Estimation Shared Task
J.G.C. de Souza, C. Buck, M. Turchi and M. Negri, Proceedings of the 8th Workshop on SMT, Aug 89, 2013, p. 352–358.

Online Learning Approaches in Computer Assisted Translation
P. Mathur, M. Cettolo and M. Federico, Proceedings of the 8th Workshop on SMT, Aug 89, 2013, p. 301–308.

Coping with the Subjectivity of Human Judgements in MT Quality Estimation
M. Turchi, M. Negri and M. Federico, Proceedings of the 8th Workshop on SMT, Aug 89, 2013, p. 240–251.

Exploiting Qualitative Information from Automatic Word Alignment for Crosslingual NLP Tasks
J.G.C. de Souza, M. EsplàGomis, M. Turchi and M. Negri, Proceedings of ACL 2013, August 49, 2013

A MultiDomain Translation Model Framework for Statistical Machine Translation
R. Sennrich, H. Schwenk and W. Aransa, Proceedings of ACL, Aug 49, 2013, p. 832–840.

Incremental Adaptation Using Translation Information and PostEditing Analysis
F. Blain, H. Schwenk and J. Senellart, IWSLT’12, Dec 67, 2012

Continuous Space Translation Models for PhraseBased Statistical Machine Translation
H. Schwenk, Proceedings of Coling, Dec 1014, 2012

Measuring User Productivity in MT Enhanced Computer Assisted Translation
M. Federico, A. Cattelan, M. Trombetti, Proceedings of the tenth biennial conference of the Association for Machine Translation in the Americas (AMTA2012), Oct 28  Nov 1, 2012.

Evaluating the Learning Curve of Domain Adaptive Statistical Machine Translation Systems
N. Bertoldi, M. Cettolo, M. Federico, C. Buck, Proceedings of the Seventh Workshop on Statistical Machine Translation (WMT), Jun 78, 2012.

Black box features for the WMT 2012 quality estimation shared task
C. Buck, Proceedings of the Seventh Workshop on Statistical Machine Translation (WMT), Jun 78, 2012.

MateCat: Machine Translation Enhanced Computer Assisted Translation
Project Presentation, Proceedings of the European Conference on Machine Translation (EAMT), May 2830, 2012.
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